Recent progress on lattice Boltzmann simulation of nanofluids: A review

Sidik, Nor Azwadi Che; Mamat, Rizalman

doi:10.1016/j.icheatmasstransfer.2015.05.010

Cited by 32 publications

(11 citation statements)

References 125 publications

(109 reference statements)

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“…In the last two decades, there has been growing interest in using the lattice Boltzmann method (LBM) as a promising alternative technique for simulating various fluid flow problems [1][2][3][4][5]. Unlike the conventional computational fluid dynamics (CFD) methods, the LBM does not solve the incompressible Navier-Stokes equations directly, but instead the fluid flow is described in terms of a discrete kinetic equation based on the particle distribution functions [6].…”

Section: Introductionmentioning

confidence: 99%

Choice of no-slip curved boundary condition for lattice Boltzmann simulations of high-Reynolds-number flows

2018

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Various curved no-slip boundary conditions available in literature improve the accuracy of lattice Boltzmann simulations compared to the traditional staircase approximation of curved geometries. Usually, the required unknown distribution functions emerging from the solid nodes are computed based on the known distribution functions using interpolation or extrapolation schemes. On using such curved boundary schemes, there will be mass loss or gain at each time step during the simulations, especially apparent at high Reynolds numbers, which is called mass leakage. Such an issue becomes severe in periodic flows, where the mass leakage accumulation would affect the computed flow fields over time. In this paper, we examine mass leakage of the most well-known curved boundary treatments for high-Reynolds-number flows. Apart from the existing schemes, we also test different forced mass conservation schemes and a constant density scheme. The capability of each scheme is investigated and, finally, recommendations for choosing a proper boundary condition scheme are given for stable and accurate simulations.

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Section: Introductionmentioning

confidence: 99%

Choice of no-slip curved boundary condition for lattice Boltzmann simulations of high-Reynolds-number flows

2018

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“…The LBM has recently been extended to simulate nanofluids flow and heat transfer phenomena [23]. A LES-based lattice Boltzmann was proposed to study the heat and mass transfer mechanism of double diffusive natural convection of nanofluid from laminar regimes to turbulent regimes [24].…”

Section: Introductionmentioning

confidence: 99%

Three dimensional lattice Boltzmann simulation for mixed convection of nanofluids in the presence of magnetic field

Zhou

Yan

Xie

et al. 2017

International Communications in Heat and Mass Transfer

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In the present study, a three dimensional thermal lattice Boltzmann model was developed to investigate the flow dynamics and mixed convection heat transfer of Al2O3/water nanofluid in a cubic cavity in the presence of magnetic field. The model was first validated with previous numerical and experimental results. Satisfactory agreement was obtained. Then the effects of Rayleigh number, nanoparticle volume fraction, Hartmann number and Richardson number on nanofluid flow dynamics and heat transfer were examined. Numerical results indicate that adding nanoparticles to pure water leads to heat transfer enhancement for low Rayleigh numbers. However, this enhancement might be weakened and even reversed for high Rayleigh numbers. In addition, the results show the external applied magnetic field has an effect of suppressing the convective heat transfer in the cavity. Moreover, the results demonstrate that the Richardson number in mixed convection has significant influences on both streamlines and temperature field.

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“…In simulation of nanofluids via the LBM, nanofluids would act differently from pure liquids as a result the forces on nanoparticles. The characteristics of the nanofluid used in this study, i.e., its density, effective dynamic viscosity, diffusion coefficient, and heat capacity [40,41], are respectively defined as (6)-(9):…”

Section: Computational Methods and Simulationsmentioning

confidence: 99%

Heat transfer enhancement inside channel by using the Lattice Boltzmann Method

et al. 2021

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In this study, the Lattice Boltzmann Method (LBM) is employed in order to examine the fluid flow and forced convection heat transfer inside a twodimensional horizontal channel with and without obstacles. In order to enhance the heat and thermal energy transfer within the channel, different obstacle arrangements are posed to the flow field and heat transfer with the purpose of studying their sensitivity to these changes. The results indicate that, when the value of the Reynolds number is maximum, the maximum average Nusselt numbers happens on the lower wall (Case 4). The paper extends the topic to the use of nanofluids to introduce a possibility to enhancement of the heat transfer in the channel with an array of the obstacles with forced convection. For this purpose, the AgMgO/water micropolar hybrid nanofluid is used, and the volume fraction of the nanoparticle (50% Ag and 50% MgO by volume) is set between 0 and 0.02. The results showed that, when the hybrid nanofluid is used instead of a typical nanofluid, the rate of the heat transfer inside the channel increases, especially for the high values of the Reynolds number, and the volume fraction of the nanoparticles. Increasing the volume fraction of the nanoparticles increase the local Nusselt number (1.17-fold). It is shown that the type of obstacle arrangement and the specific nanofluid can exerts significant effects on the characteristics of the flow field and heat transfer in the channel. This study provides a platform for using the LBM to examine fluid flow through discrete obstacles in offset positions.

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Recent progress on lattice Boltzmann simulation of nanofluids: A review

Cited by 32 publications

References 125 publications

Choice of no-slip curved boundary condition for lattice Boltzmann simulations of high-Reynolds-number flows

Choice of no-slip curved boundary condition for lattice Boltzmann simulations of high-Reynolds-number flows

Three dimensional lattice Boltzmann simulation for mixed convection of nanofluids in the presence of magnetic field

Heat transfer enhancement inside channel by using the Lattice Boltzmann Method

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